Staff Data Software Engineer, Northbeam

Salary not provided

+ Equity

SQL
AWS
Python
Scala
Java
Kafka
Airflow
Azure
Spark
BigQuery
dbt
Senior and Expert level
San Francisco Bay Area
Northbeam

Data analytics for DTC and ecommerce brands

Open for applications

Northbeam

Data analytics for DTC and ecommerce brands

21-100 employees

B2BMarketingAnalyticsMachine LearningSaaSData AnalysiseCommerce

Open for applications

Salary not provided

+ Equity

SQL
AWS
Python
Scala
Java
Kafka
Airflow
Azure
Spark
BigQuery
dbt
Senior and Expert level
San Francisco Bay Area

21-100 employees

B2BMarketingAnalyticsMachine LearningSaaSData AnalysiseCommerce

Company mission

Northbeam is the new standard for ecommerce intelligence.

Role

Who you are

  • Solid understanding of data processing needs of real-time and batch systems for transactional and analytical processing
  • Experience with SQL / Java / Scala / Spark / Python
  • Experience designing and deploying high performance systems with reliable monitoring and logging practices
  • Experience with data pipeline orchestration tools and practices
  • Six to eight plus years of experience

Desirable

  • Experience in data engineering solutions such as Bigquery, Airflow, dbt, Kafka, Pinot
  • Prior experience working in marketing, e-commerce, or ad-tech
  • Experience working with cloud infrastructure such as Google Cloud Platform, Azure, or AWS
  • Experience or a desire to leverage infrastructure-as-code

What the job involves

  • As a Data Engineer working at Northbeam, you will work with a cross functional team of product managers, product engineers and business leaders to translate our customer’s feedback into scalable data pipelines and products
  • Marketing attribution for the direct-to-consumer (DTC) space involves creating, maintaining and improving a labyrinth of transformations in a complex network of touchpoints to keep everything running smoothly
  • The system is powered by data that spans numerous ad platforms, a variety of order management systems (such as Shopify and Amazon), as well as our own real-time events that we collect as our customer’s customers navigate their online stores
  • Work with our customers, product managers, product engineers, and customer support, to scope, build, and iterate high value solutions
  • Provide technical leadership to various software engineers and drive the long term technical strategy with scalable architecture and best practices
  • Build and maintain data ingestion pathways spanning APIs, file processing, and configurable inputs
  • Own and Implement the data/infrastructure engineering aspects end-to-end from idea to solution as part of a cross functional effort with your peers
  • Work on the data pipeline architecture and optimize it for readability, maintainability, as well as cost
  • Integrate with our machine learning and data science systems to deliver insights to our customers
  • Maintain and augment the necessary infrastructure to scale our platform
  • Write technical documentation for internal and external stakeholders

Our take

Traditionally in-person stores used a plethora of consultants, accountants and agencies to seek improvements that would boost their bottom line. Now, in the age of internet-enabled commerce, data richness and a totally new customer acquisition landscape has made those services irrelevant.

Instead, startups like Northbeam have emerged to fulfil those roles for the modern age. In particular, Northbeam provides services for e-commerce intelligence. That means applying machine learning and first-party data to drive more efficient and scalable marketing strategies.

Northbeam received substantial funding in 2022 that is being used to expand its machine-learning capabilities, especially useful since the 2021 Apple iOS updates. These updates made it more difficult for brands to track consumer behavior across the internet and to accurately advertise to the users most likely to buy their products. Machine learning advances will undoubtedly help Northbeam get ahead of this curve.

Steph headshot

Steph

Company Specialist

Insights

Few candidates hear
back within 2 weeks

112% employee growth in 12 months

Company

Funding (1 round)

Aug 2022

$15m

SERIES A

Total funding: $15m

Company benefits

  • Significant equity package
  • Generous base salary
  • Healthcare Benefits (medical, dental, vision)
  • Travel to meet with the team

Company values

  • Growth mindset - we’re always learning and growing
  • Customer focus - we want to make the customer happy with our product
  • Ownership mentality - we think like owners in the business
  • Radical candor - we’re transparent and give direct feedback to one another

Company HQ

SoMa, San Francisco, CA

Leadership

Austin Harrison

(CEO)

Previously helped build the first audience panel for NetRatings which went public in 1999 and Nielsen acquired the last 40% in 2007 for $327M.

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